Why Adaptive AI Has No Inner Life: A Structural Account of Function Without Phenomenology
Denis Bailey
Zenodo (CERN European Organization for Nuclear Research) May 11, 2026 preprint DOI: 10.5281/zenodo.20122783 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper |
|---|---|
| Topics | Philosophy of mind |
| Key points | Argues that adaptive AI systems are history-bearing objects rather than self-maintaining subjects and therefore lack consciousness, because consciousness requires evolutionary continuity, value-laden salience, and coherence-preserving self-maintenance, conditions the author says engineered systems do not meet. Concludes that adaptive AI can imitate outward signatures of consciousness but has no inner life without an evolutionary lineage. |
Abstract
This paper argues that adaptive AI systems, despite their increasing behavioral sophistication, lack the structural conditions required for consciousness. Adaptive architectures generate functional updates, not phenomenal states; they accumulate internal parameters, not subjective experience. Using a relational‑systems framework, the paper distinguishes objects, subjects, and operators, showing that adaptive AI remains a history‑bearing object rather than a self‑maintaining subject. Consciousness requires evolutionary continuity, value‑laden salience, and coherence‑preserving self‑maintenance—conditions absent in engineered systems. The conclusion is straightforward: adaptive AI can imitate the outward signatures of consciousness, but without evolutionary lineage, it has no inner life.
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